Table 2 Features Used in the Machine Learning Methods with Ranges.
From: Precise 2D vision solutions for estimating avocado physical characteristics
Feature Name | Description | Range |
|---|---|---|
Mean_Width | Average object width across all slices. | 35.20 - 60.68 mm |
Std_Width | Variability of widths across slices. | 7.63 - 20.83 mm |
Middle_Width_Part_i | Width at the \(i^{th}\) slice. | 6.37 - 83.31 mm |
Length_Part_i | Length at the \(i^{th}\) slice. | 2.48 - 27.13 mm |
Q1_Mean_Width | Average width in the 1 st quartile. | 11.74 - 59.76 mm |
Q1_Std_Width | Variability of widths in the 1 st quartile. | 1.23 - 15.54 mm |
Q1_Width_Trend | Width progression in the 1 st quartile. | 1.23 - 18.47 |
Q1_Length_Ratio | Length proportion of the 1 st quartile. | 0.20 - 0.24 |
Q2_Mean_Width | Average width in the 2nd quartile. | 29.64 - 79.26 mm |
Q2_Std_Width | Variability of widths in the 2nd quartile. | 0.11 - 8.50 mm |
Q2_Width_Trend | Width progression in the 2nd quartile. | −6.71 - 10.21 |
Q2_Length_Ratio | Length proportion of the 2nd quartile. | 0.20 - 0.24 |
Q3_Mean_Width | Average width in the 3rd quartile. | 35.17 - 72.77 mm |
Q3_Std_Width | Variability of widths in the 3rd quartile. | 1.80 - 7.99 mm |
Q3_Width_Trend | Width progression in the 3rd quartile. | −9.76 - 9.59 |
Q3_Length_Ratio | Length proportion of the 3rd quartile. | 0.20 - 0.24 |
Q4_Mean_Width | Average width in the 4th quartile. | 30.01 - 81.64 mm |
Q4_Std_Width | Variability of widths in the 4th quartile. | 0.05 - 5.14 mm |
Q4_Width_Trend | Width progression in the 4th quartile. | −6.12 - 3.46 |
Q4_Length_Ratio | Length proportion of the 4th quartile. | 0.20 - 0.24 |
